This role is for one of our clients
Industry: IT Services and IT Consulting
Seniority level: Mid-Senior level
Experience: 5+ yrs
Location: Bengaluru , Hyderabad . Pune
Job Type: full-time
We are seeking an experienced Senior Data Engineer with 5–10 years of professional experience in designing, building, and optimizing modern data platforms. The ideal candidate will have strong expertise in data warehousing, ETL/ELT development, workflow orchestration, and cloud-based data solutions.
- Design, develop, and maintain scalable data pipelines and data integration workflows.
- Build and optimize data models to support analytics, reporting, and business intelligence needs.
- Develop and manage transformation logic using DBT and SQL best practices.
- Orchestrate and monitor data workflows using Airflow.
- Implement ETL/ELT solutions using Informatica Intelligent Cloud Services (IICS).
- Develop automation, data processing, and integration solutions using Python.
- Optimize Snowflake performance, including warehouse tuning, query optimization, and cost management.
- Collaborate with cross-functional teams to understand business requirements and deliver data solutions.
- Ensure data quality, reliability, security, and governance across data platforms.
- Support CI/CD processes, code reviews, and deployment automation.
- Strong expertise in Snowflake (data modeling, performance tuning, warehouse optimization).
- Hands-on experience with DBT for data transformation and modular SQL development.
- Proficiency in Python for data engineering, automation, and scripting.
- Strong knowledge of SQL and relational database concepts.
- Experience with cloud platforms such as AWS, Azure, or GCP.
- Familiarity with Git and CI/CD pipelines.
- Excellent analytical, problem-solving, and communication skills.
- Experience with Airflow for workflow orchestration and DAG management.
- Hands-on experience with Informatica Intelligent Cloud Services (IICS).
- Knowledge of enterprise ETL/ELT architectures and data integration best practices.
- 5–10 years of experience in Data Engineering, Data Warehousing, or related fields.
- Proven experience building and maintaining scalable, production-grade data platforms.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
